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The COVID-19 ONS infection survey took a random sample of the population and provides an estimate of the prevalence of COVID-19 that is supposedly free from ascertainment bias.

Usage

data(england_ons_infection_survey)

Format

A dataframe containing the following columns:

  • date (date) - the date column

  • geography (character) - the geography column

  • proportion.0.5 (numeric) - the median proportion of people in the region testing positive for COVID-19

  • proportion.0.025 (numeric) - the lower CI of the proportion of people in the region testing positive for COVID-19

  • proportion.0.975 (numeric) - the upper CI of the proportion of people in the region testing positive for COVID-19

  • denom (integer) - the sample size on which this estimate was made (daily rate inferred from weekly sample sizes.)

  • time (as.time_period) - the time column

No mandatory groupings.

No default value.

9820 rows and 7 columns

Details

The data is available here: https://www.ons.gov.uk/file?uri=/peoplepopulationandcommunity/healthandsocialcare/conditionsanddiseases/datasets/coronaviruscovid19infectionsurveydata/2023/20230310covid19infectionsurveydatasetsengland.xlsx